finetune_wav2vec2_base_six_1000

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3205
• Wer: 64.2346
• Cer: 28.5983

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• training_steps: 4500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.3064	18.5185	1000	1.2395	61.2364	27.0612
0.4719	37.0370	2000	1.1869	43.9153	20.5975
0.1675	55.5556	3000	1.2026	41.3812	19.3565
0.0898	74.0741	4000	1.2615	39.3484	18.3855

Framework versions

• Transformers 4.40.2
• Pytorch 1.12.1+cu116
• Datasets 2.19.1
• Tokenizers 0.19.1